APPARATUS AND METHOD FOR MONITORING OF INFRASTRUCTURE CONDITION

• US 20100004804A1
• Filed: 10/01/2008
• Published: 01/07/2010
• Est. Priority Date: 07/01/2008
• Status: Active Grant

• Current Assignee: GE Global Sourcing LLC (Westinghouse Air Brake Technologies Corporation)
• Original Assignee: General Electric Company
• Inventors: Corby, Nelson, Shah, Minesh, Mathews, Harry Kirk JR., Anderson, Todd Alan, Sebastian, Thomas
• Granted Patent: US 8,412,393 B2
• Time in Patent Office: Days
• US Class Current: 701/19
• CPC Class Codes: B61K 9/08 Measuring installations for surveying permanent way applications of measuring apparatus or devices for track building purposes E01B35/00; measuring techniques G01
• CPC Class Codes: B61L 2205/04 Satellite based navigation systems, e.g. global positioning system [GPS]
• CPC Class Codes: B61L 23/042 Track changes detection
• CPC Class Codes: B61L 25/025 Absolute localisation, e.g. providing geodetic coordinates
• CPC Class Codes: B61L 27/40 Handling position reports or trackside vehicle data
• CPC Class Codes: B61L 27/53 for trackside elements or systems, e.g. trackside supervision of trackside control system conditions

Abstract

A system and method for vehicle-centric infrastructure monitoring system includes an inspection system mountable on a vehicle configured to travel over an expanse of rail track having a plurality of track blocks. The inspection system acquires track data for at least some track blocks along the expanse of rail track. The monitoring system also includes a positioning system to determine a location of the vehicle and generate location data indicative of an associated track block location, a communications device to transmit the track/location data to a remote location, and a centralized computing system positioned at the remote location to receive the transmitted track/location data. The centralized computing system is programmed to determine a current probability of a track condition for a track block and combine the current track condition probability with a previously determined cumulative track condition probability to provide an updated track condition probability for the track block.

Claims

1. A monitoring system, comprising:

an inspection system mountable on a vehicle that is configured to travel over an expanse of rail track, the rail track having a plurality of track blocks, and the inspection system configured to acquire track data for at least some track blocks along the expanse of rail track;

a positioning system mountable on the vehicle and configured to determine a location of the vehicle on the expanse of rail track and generate location data indicative of the track block associated with that vehicle location;

a communications device connected to the inspection system and to the positioning system to transmit the track data and the location data to a remote location; and

a centralized computing system positioned at the remote location to receive the transmitted track data and location data, the centralized computing system programmed to;

determine a current probability of a track condition for a track block based on the track data; and

combine the current track condition probability for the track block with a previously determined cumulative track condition probability for the track block to provide an updated track condition probability for the track block.

2. The monitoring system of claim 1, wherein the centralized computing system is further programmed to:

aggregate the current track condition probability for at least some of the plurality of track blocks with the previously determined track condition probabilities; and

fuse the aggregated track condition probabilities to determine the updated track condition probability for at least some of the plurality of track blocks.

3. The monitoring system of claim 1, wherein the communications device is further configured to receive infrastructure condition signals from trackside infrastructure.

4. The monitoring system of claim 3, wherein the communications device is further configured to transmit infrastructure update signals to the trackside infrastructure.

5. The monitoring system of claim 1, wherein the communications device is further configured to receive trip data from a remote location, the trip data comprising at least one of weather data, seismic data, and traffic congestion data.

6. The monitoring system of claim 1, further comprising a processing unit positioned onboard the vehicle and connected to the inspection system and to the positioning system to receive the track data and the location data therefrom, the processing unit programmed to:

analyze the track data acquired for a track block in the plurality of track blocks;

determine at least one measured track geometry value for the track block from the analyzed track data.

7. The monitoring system of claim 6, wherein the at least one measured track geometry value comprises one of a track gauge, a track cross-level, a track grade, and a track curvature.

8. The monitoring system of claim 6, wherein the centralized computing system is further programmed to determine calculated track geometry values from the at least one measured track geometry value, the calculated track geometry values comprising at least one of a track alignment, a track warp, a track profile, and a track run-off.

9. The monitoring system of claim 1, wherein the track condition comprises a track defect comprising one of a measured track geometry value outside of a pre-determined threshold;

a calculated track geometry value outside of a pre-determined threshold; and

a track flaw, the track flaw comprising one of a cracked rail, spalled rail, and shelled rail.

10. The monitoring system of claim 1, wherein the centralized computing system is further programmed to:

determine a vehicle operation parameter based on at least one of the track data and the track condition; and

wirelessly transmit the vehicle operation parameter to the vehicle.

11. The monitoring system of claim 1, wherein the inspection system comprises an optical system configured to acquire images of the rail track.

12. The monitoring system of claim 1, wherein the positioning system comprises an inertial navigation system including an inertial measurement unit and a global positioning system (GPS).

13. The monitoring system of claim 1, wherein the centralized computing system is further programmed to compare the updated track condition probability to previously determined updated track condition probabilities to determine a track condition probability trend.

14. A method, comprising:

acquiring track data and position data during a current pass of a vehicle over an expanse of rail track;

transmitting the track data and the position data to a remotely located centralized database;

determining a location-indexed track condition of the expanse of rail track at the remotely located centralized database based on the processed track data and the processed position data acquired from the current pass; and

combining the determined location-indexed track condition of the expanse of rail track from the current pass with a location-indexed track condition of the expanse of rail track determined from track data and condition data acquired from at least one previous pass of the vehicle over the expanse of rail track to determine an aggregate location-indexed track condition of the expanse of rail track.

15. The method of claim 14, wherein acquiring track data comprises acquiring track data for a plurality of pre-determined track sections within the expanse of rail track.

16. The method of claim 15, further comprising:

processing at least a portion of the track data onboard the vehicle to determine at least one measured track parameter value for each of the plurality of track sections; and

transmitting the at least one measured track parameter value to the remotely located centralized database.

17. The method of claim 15, wherein determining a location-indexed track condition of the expanse of rail track comprises determining a probability of a track defect in each of the plurality of track sections.

18. The method of claim 17, wherein determining an aggregate location-indexed track condition of the expanse of rail track comprises:

aggregating the track defect probabilities from the current pass and from each of the at least one previous passes for each of the plurality of track sections; and

fusing the aggregate defect probabilities for each of the plurality of track sections into a final defect probability.

19. The method of claim 17, wherein fusing the probabilities comprises applying Bayes rule to the aggregated track defect probabilities.

20. The method of claim 14, further comprising determining a control strategy for the vehicle for traveling along the expanse of rail track based on the aggregate location-indexed track condition of the expanse of rail track.

21. A method, comprising:

performing a series of passes of a vehicle over an expanse of track;

acquiring track data for a plurality of discrete locations along the expanse of railroad track from the series of passes;

acquiring position data for the plurality of discrete locations along the expanse of railroad track from the series of passes;

location-indexing the track data to the discrete locations based on the position data;

during each pass in the series of passes, transmitting the location-indexed track data to a remotely located centralized database;

determining at the centralized database, for each pass in the series of passes, a track condition probability for each of the plurality of discrete locations based on the location-indexed track data;

combining the track condition probabilities from each pass in the series of passes for each of the plurality of discrete locations to determine a final track condition probability for each of the plurality of discrete locations; and

determining a control strategy for a future pass of the vehicle along the expanse of rail track based on the final track condition probability for each of the plurality of discrete locations.

22. The method of claim 21, wherein combining the track condition probabilities comprises:

aggregating the track condition probabilities from the series of passes for each of the plurality of discrete locations; and

fusing the aggregate condition probabilities for each of the plurality of discrete locations into a final condition probability.

23. The method of claim 21, further comprising:

processing at least a portion of the track data onboard the vehicle to determine at least one measured track parameter value for each of the plurality of discrete locations; and

transmitting the at least one measured track parameter value to the remotely located centralized database.

24. The method of claim 23, further comprising determining at the centralized database, for each pass in the series of passes, a calculated track parameter value for each of the plurality of discrete locations based on the at least one measured track parameter value.

25. The method of claim 21, further comprising:

receiving infrastructure condition signals at the vehicle from trackside infrastructure as the vehicle travels along the expanse of railroad track; and

transmitting service data from the vehicle to the trackside infrastructure as the vehicle travels along the expanse of railroad track.